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Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: Vercel Connect helps developers give agents and AI-built apps secure access to the data, tools, and events they need—without wrestling with OAuth, credentials, and integration complexity. We’re currently building two things: 1) a platform for managing agent identity, access and permissions and 2) a set of rich connectors for the 1000s of systems (like Linear, Slack, GitHub, Google, etc.) that agents will need to talk to. We’re solving core problems like agent identity and delegated access, tool approval and standards around making agents aware of changes on 3rd party platforms. As a senior engineer on this team you'll not only own our APIs, token infrastructure, authorization, SDKs, and more, but work with external companies to make it easier for developers to build agents that integrate with their products. You’ll need to balance both high uptime and fast performance with flexibility to allow for seamless connection to many systems that weren’t designed with agents in mind. If you’re looking for a role that will put you at the center of how agent identity and credentials work, this is it! This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday. What You Will Do: Ship provider integrations end to end — auth flows, token exchange, app registration, and the configuration UI — from generic API-key and OAuth presets through bespoke cases like Snowflake Partner Connect, Slack manager apps, and Microsoft Entra. Own and improve our infrastructure (uptime, performance, secure storage of credentials and keys) and developer experience for Connect Work with industry leaders within and outside of Vercel to propose and implement new authentication and authorization protocols for AI era Build and harden event forwarding — signature verification inbound, project-scoped identity outbound, delivered to the right deployment and environment. Make Connect the obvious way to give an agent a credential, extending the SDKs , consent-redirect flow, and framework adapters. Reduce the cost of the next hundred integrations, so most new providers become configuration rather than code. About You: 6+ years building and operating production backend or full-stack systems, with a track record of owning a service or platform surface rather than a feature. You deeply understand your users problems and work in a focused manner to address them, leveling up the product you’re working on over time. Deep, practical understanding of OAuth 2.0/2.1, OIDC, and JWTs — not just wiring up a client library, but reasoning about authorization codes, PKCE, refresh semantics, audience and scope restriction, token exchange, and what each of those actually protects against. A security instinct for integration code specifically — SSRF and DNS rebinding, confused-deputy and mix-up attacks, redirect-URI validation, webhook signature verification, tenant isolation. You've either found these bugs or fixed them. Strong TypeScript, and comfort developing backend and frontend components. Experience integrating with many third-party APIs, an appetite for the reality of it — undocumented behavior, non-compliant OAuth, inconsistent errors — and the judgment to absorb that mess behind a clean abstractions Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $196,000-$294,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Bellevue Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION We're seeking a Principal Product Manager to join our Governance team. You'll drive product direction across human, robot, and agent identity, delegated and scoped authorization, guardrails, and audit and attribution for non-human actors, and you'll work the patterns the industry is still standardizing right now: on-behalf-of delegation chains, OAuth flows for autonomous callers, just-in-time elevation, sandboxing, and policy-as-code for tool access. This is a high-agency, AI-native role. You will be deep in the product: testing, prototyping with coding agents, talking to customers, and turning what you learn into a coherent roadmap to build. Your north star is an agentic enterprise’ trust translating into adoption: governance with required coverage, and monitoring, for enterprises; and frictionless for builders to code it in. WHAT YOU'LL DO AT UIPATH - Own the 12–18 months roadmap for identity, auth, and access governance across UiPath's agentic platform, in coherence with company priorities and evolving standards in the ecoystem. - Evolve how identity works for agents, robots, and humans at UiPath (provisioning, scoping, delegation, attestation), ship the patterns, and drive their adoption across the product teams that build on them. - Drive the auth model for LLM tool-calling (for internal and external agents), enterprise-managed authorization, scoped consent, least-privilege execution, step-up and just-in-time elevation, and OOTB monitoring views, audit trails that hold up in front of a compliance team. - Enhance the guardrail layer around agent action: policy-as-code for tool access, sandboxing boundaries, approval and elevation flows, and the attribution model that answers "which agent, on whose behalf, under which policy" after the fact. - Define how UiPath agents present themselves to the outside world and how outside agents present themselves to UiPath: agent identities registered in enterprise directories, on-behalf-of delegation chains that survive multiple hops, and agent-to-agent trust. - Partner with our largest and most regulated customers (financial services, healthcare, public sector) on production deployments. Go deep enough to know which specific control failed and ship the fix. - Use the platform as a builder. Stand up agents, wire up auth flows, use coding agents aggressively to prototype and ship reference implementations. - Instrument and own the metrics that matter (e.g. time-to-grant, audit coverage, policy violations caught, developer friction) and prioritize against them. - Present UiPath's governance capabilities and roadmap to customers, partners, and consider authoring any external content that earns CISO trust. WHAT YOU'LL BRING TO THE TEAM - 7+ years in technical PM or engineering roles, with sustained time in the governance space: identity, access, and guardrails for enterprise software. You have shipped infrastructure that enterprises trusted with production traffic. - A visible record of innovating in agentic governance specifically: owned capabilities, reference implementations, spec or working-group contributions. - Fluency in enterprise identity and access: how users, services, and now agents authenticate, what they're allowed to do, and how actions get audited. - Working knowledge of the agent auth stack as it stands today: MCP authorization, on-behalf-of delegation, and how IdPs like Okta and Entra now model agents as identities. - Working understanding of agentic AI (tool-calling, MCP, RAG, agent design patterns) and a view on how identity, access, and guardrails should evolve to support autonomous actors. - First-principles thinker, comfortable in ambiguity. Can produce a defensible direction and can tell the difference between a problem the standards will solve for us. - Clear communicator, in writing and in person: you can write a short position doc that frames a decision, explain a concept well to a CISO or auditor, and walk a customer through a working demo without overselling it. IDEAL BACKGROUND - Several years in identity, access, or security-platform product work in enterprise vendors - hyperscaler identity team, IAM vendors, workload-identity or secrets vendor, or as an early PM at a startup in the space, with focus on agents. - Has been working on the enterprise agentic governance problem for a while: a product or feature in market, a spec or working-group contribution. - Has opinions about where agent identity, access, and guardrails are going in the next 24 months, with receipts. - Has shipped into regulated industries (financial services, healthcare, public sector) and has sat through a customer security or compliance review to shape product roadmap. - Works closely with engineering and field teams and is trusted by both to make technical trade-offs without a committee. - Prototypes before writing: has used code or coding agents to test an idea and brought the working version to the discussion. #LI-MH1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Riga, Latvia Workplace: hybrid About the Client Our client provides payment and banking services to businesses in fintech and e-commerce. It serves merchants across Europe. Role Overview Take ownership of an established acquiring product as its first dedicated Acquiring Product & Operations Manager. You will improve pricing, performance and product processes while shaping the roadmap for further development. The role combines commercial decisions with hands-on work alongside technical, legal and client-facing teams. Key Responsibilities Review the acquiring product, identify gaps in ownership and processes, and establish a foundation for further development. Manage acquiring for high-risk merchants across Europe, including product setups, merchant agreement terms and client-specific configurations. Work with Legal on contractual matters. Define pricing, challenge back-office cost calculations and improve the pricing tool to protect profitability. Own Open Banking as an acquiring payment method, including agreements, setup and client requirements. Monitor merchant conversion and transaction performance. Investigate significant fluctuations and coordinate improvements with the technical team. Develop and prioritise the roadmap with the acquiring technical project manager. Turn business needs into clear development priorities. Oversee Visa and Mastercard acquiring compliance requirements and manage the specialist responsible for this area. Establish product management processes for client requests, technical issues, tickets, retrospectives and a knowledge base of recurring issues. Serve as the product expert for key account managers and sales. Resolve client questions and clarify specifications. Requirements Proven experience managing acquiring products. Experience in payments businesses serving high-risk merchants, with an understanding of their business models and payment needs. Strong understanding of acquiring economics, including cost calculations, pricing models and profitability analysis. Experience developing roadmaps, prioritising features and coordinating delivery with technical teams. Knowledge of regulated banking environments, acquiring operations and Visa and Mastercard compliance requirements. Familiarity with merchant agreements, acquiring product setups and Open Banking is an advantage. Experience in fintech. Key Soft Skills Strong ownership and self-drive; able to take initiative and move work forward independently. Decisiveness and accountability for outcomes. Persistence in securing decisions and answers from internal and external stakeholders. Structured, analytical thinking that brings clarity to complex processes. Ability to balance the pace and commercial needs of high-risk payments with banking governance and controls. Comfortable working both strategically and hands-on, without relying solely on delegation. What We Offer Competitive salary based on experience. Collaborative and transparent team culture. High-impact role in a growing fintech company. Recognition of personal milestones and achievements. Social benefits.

- Conduct and adjudicate referrals of unusual activity and investigate AML/CTF/sanctions risks. - Prepare timely SAR/STR submissions or close referrals with reasoned justification.

Location: Bellevue Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION We're seeking a Principal Product Manager to help advance our Agentic Automation vision by giving enterprises the means to see, trust, and govern every agent they run, whether it runs on UiPath or somewhere else. Your scope spans three connected areas. Traces and observability capture the end-to-end record of what an agent did, what it cost, which model and configuration it used, and why. Those traces are the single source of truth for what happens across the UiPath platform, covering agents and every service that joins our trace infrastructure. Agent identity establishes who owns an agent, who it acts for, and what it's allowed to do. Governance ties the two together, and you'll be the Agents team's bridge to UiPath's broader platform governance. Across all three, you'll help define patterns the industry is still inventing, including OpenTelemetry for agents, cross-platform trace exchange, delegated permissions for agents, and policy and audit for non-deterministic systems. This is a high-agency, AI-native role. You won't be running status meetings. You'll be deep in the product: reading traces, prototyping with coding agents, talking with customers and FDEs, and turning what you learn into crisp direction for the engineers who build it. Influence, not headcount, will be your default leverage. Your north star is simple. Every agent in production should be visible, attributable, and governable. A builder should be able to debug a failed run in minutes. A finance owner should be able to trust the cost numbers. A security team should be able to answer "what did this agent do, and on whose behalf?" without opening a ticket What you'll do at UiPath - Collaborate and help drive the multi-year vision for agentic observability and governance, across the UiPath platform and the outside agents it works with. - Own traces end to end. That covers the schema, completeness, and quality of every trace, and the accuracy of its cost, token usage, and LLM configuration data. - Build observability integrations with other platforms, including OpenTelemetry export and import, Microsoft Agent 365, and other agent and observability ecosystems. UiPath traces should flow out, and outside agent traces should flow in. - Bring UiPath services and teams onto our trace infrastructure, so traces cover the whole platform and not only agents. Run intake, prioritization, and coordination for trace requests across the company. - Own agent identity, so that every agent and every run maps to an owner, the user it acts for, and the permissions it used. - Serve as the Agents team's counterpart to platform governance, making sure traces and identity feed policy, audit, alerting, and controls like a kill switch. - Partner with our largest and most demanding customers, including those in regulated industries, on production deployments. Go deep enough to know which span was missing and why it mattered. - Use the platform as a builder. Stand up agents, read their traces, wire exports into real observability tools, and use coding agents to prototype. If a point needs a working example, build one. - Translate the fast-moving landscape of OpenTelemetry GenAI conventions, agent observability vendors, agent identity standards, and AI governance regulation into a coherent UiPath point of view and a shipping product. - Define the metrics that matter, such as trace coverage and completeness, cost accuracy, time to diagnose a failed run, and the share of agents with a clear owner and identity. Then prioritize ruthlessly against them. - Represent UiPath's agent observability and governance story to customers, partners, and industry forums. WHAT YOU'LL BRING TO THE TEAM - 6+ years in technical product management or engineering, with an emphasis on observability, developer platforms, identity, security, or applied agentic AI. You have a proven record of shipping infrastructure that builders and platform teams rely on. - Hands-on experience building observability, telemetry, tracing, or governance products. You've designed systems that capture, correlate, and act on signals across many services. - Deep fluency in agentic AI: models, tool calling, MCP / A2A, coding agents, agent design patterns, evals, and observability. You can read an agent trace, see right away what went wrong, and how the trace could be improved. - Working knowledge of identity and access concepts such as service identities, delegated permissions, OAuth, and audit, and a view on how they should apply to agents. - A builder's posture and a bias for action. You write code, or prompt agents to write it, so you can test ideas and ship prototypes. You treat coding agents as leverage rather than writing specs and waiting. - A first-principles mindset and comfort with ambiguity. You can reach a defensible direction in days, not quarters. - Sharp communication: a position doc that inspires bold decisions, a technical explanation a skeptical architect trusts, a demo that closes the room. - Comfort working in regulated, on-prem, and hybrid environments. IDEAL BACKGROUND - Built observability, telemetry, identity, security, or agent platform products at a frontier lab, hyperscaler, observability vendor, or automation vendor, or as an early PM at a startup in the space. - Has taken a product from 0 to 1 and felt the weight of it. Startup or founding PM experience is strongly preferred. - Has a point of view, with receipts, on how enterprises will observe and govern agents over the next 24 months. #LI-MH1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Aprio is seeking a Private Client Tax Manager, to lead a dedicated team of tax professionals delivering compliance, consulting, and planning services for individuals, trusts, and closely held businesses. You will drive business development, mentor and develop team members, and play a meaningful role in the continued growth of Aprio's private client practice.

Location: Dallas-Fort Worth, TX Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Driver Support Agent , you will focus on supporting prospective drivers across all North America markets throughout their onboarding journey. You will play a crucial role in guiding drivers through compliance steps, conducting helpful outreach, and resolving onboarding roadblocks to ensure a smooth, welcoming experience. **This is a full-time, in-person position requiring availability Monday through Friday, 9:00 AM to 5:00 PM.** What You’ll Do: Follow up with driver applicants across all North America markets to offer support and guide them through their application Assist prospective drivers with required compliance steps, background checks, and documentation requirements Troubleshoot applicant inquiries and resolve friction points throughout the onboarding process Conduct proactive outreach to candidates needing additional support or follow-up Identify and escalate complex compliance or technical issues to appropriate internal teams Who You Are: Tech-savvy; strong computer and technical skills, including experience with numerous software programs and the more standard Microsoft Office and Google Suite. CRM tools like Salesforce are a plus! Strong mental acuity and analytical problem-solving skills A comfortable multitasker who enjoys live operations and can quickly prioritize and switch between tasks Skilled in prioritizing and strong delegation skills to optimize team performance Able to manage multiple priorities simultaneously while maintaining accuracy and focus A clear communicator with excellent reading comprehension and writing skills Customer-service oriented; able to de-escalate situations and bring down the temperature with escalated stakeholders Calm, cool, and collected—able to stay even-keeled during urgent or high-pressure issues A well-rounded team player who takes ownership of (and pride in) your work Ownership-driven: you take charge of ongoing issues and manage them through to resolution Comfortable with ambiguity; able to create solutions even when no SOP exists Demonstrated leadership with strong prioritization skills An action-oriented executor: you take initiative to solve problems and get the job done Compensation and Benefits Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable Salary Range: $20-$22 / hour We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: San Francisco Asana is hiring a Head of IT Systems Engineering to lead the team that powers how every Asana employee works. Reporting to the Head of IT, this San Francisco-based leader owns the strategy, architecture, and operations behind our SaaS productivity applications, corporate endpoints, identity, and user lifecycle, setting the standards and roadmap that keep every employee secure and productive. You will also influence the way Asana evaluates, adopts, and governs the tools and platforms our employees rely on. You will be responsible for the Client Platform Engineering, Application Engineering, and Identity & Integrations teams, who deliver this work. This role has one manager level report. You ask good questions, are confident in not knowing everything, and would rather build with others than go it alone. You are crisp and detail oriented, but comfortable working outside the boundaries when the situation calls for it. You bring a proven record of success, a passion for technology, and, like us, you value hard work and fun in equal measure. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Develop the multi-year vision, roadmap, and architecture for Systems Engineering, aligned with Asana’s business priorities and Asana’s broader AI strategy Accelerate an Agentified Asana, helping teams across Asana embrace our tools and reduce the friction of manual work. Partner with leaders across Asana to build and maintain an efficient and effective portfolio of SaaS tools to enable all Asanas to do their best work. Lead, develop, and grow the Client Platform Engineering, Application Engineering, and Identity & Integrations teams, including hiring, performance management, succession planning, and career development Own the strategy and operation of corporate endpoint management, SaaS application management, identity, and the full user lifecycle Drive IT’s AI strategy, from evaluating and governing platforms such as Claude, Gemini, and OpenAI to building AI agents and automation for onboarding, access requests, support, and compliance workflows Partner with Security, Legal, and Privacy to set AI usage policies, data access controls, and vendor risk standards, including identity-based access and data loss prevention for AI tools and integrations Set client platform standards and drive excellence in system performance, patching, and configuration compliance Partner with IT Support, IT Infrastructure, and Security leadership to resolve issues, reduce risk, and improve the employee experience Represent Systems Engineering to senior stakeholders, communicating priorities, tradeoffs, and results clearly About you 10+ years of IT experience, including 5+ years directly leading teams of systems engineers and software engineers in a fast-paced, cloud-first environment Proven ownership of purchasing, inventory management, and budgeting at scale Strong, hands-on knowledge of current IAM practices and cloud-based identity, SSO, SAML, and SCIM Experience with hosted cloud applications, including Okta, Google Workspace, Asana, Figma, and Slack Experience establishing governance for emerging technology, including AI usage policy, data protection, and vendor risk review Track record of setting strategy and roadmaps, then delegating effectively while staying close enough to the details to coach and unblockExperience with configuration management and automation tools such as JAMF, Intune, Puppet, and Munki Working knowledge of scripting and API integration (REST, OAuth, Python, PowerShell, Bash, or equivalent) Hands-on experience with enterprise AI platforms such as Claude, and OpenAI, including deployment, administration, and integration through APIs, connectors, and MCP servers Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making How you work A strong mix of problem solving and a positive, service-oriented attitude Excellent communication and documentation skills, with the ability to influence senior stakeholders and cross-functional partners Curiosity and a bias toward experimenting with AI in your own work, and the ability to lead a team through rapid change At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $252,000 - $296,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-SA About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Elmira, NY Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Strategy and Operations Manager , you will manage a first-of-its-kind, intermodal transit service while gaining exposure to a fast-paced tech company. This is not a role where you will be following a playbook, you will be building the plane while flying it - making it a challenging people-facing role that spans entrepreneurship, business development and operations management. We hope you are up for it! What You'll Do: Manage the on-site daily operations of Via’s service around Chemung County Prioritize operational issues as a real-time point of contact for drivers and dispatchers and provide creative solutions for scheduling of a round the clock team Manage and mentor the on-site team of dispatchers and shift managers Be the face of the operation; develop relationships with driver partners, customers, community leaders, and local organizations Liaise closely with Via senior management and Via’s external partners Develop clear metrics for the team and visibility into results against KPIs and priorities to the on a weekly basis Prepare reports and analyze data to improve operational processes, ensure resources are properly allocated, and maximize efficiency and customer satisfaction. Ensure compliance with all relevant federal, state, local and company policies, procedures and regulations on service operations Lead, coach and develop an engaged team of drivers, fostering a collaborative, cohesive, and energetic environment. Who You Are: Experienced operations manager, with a minimum of 6+ years of experience You are an independent self-starter, you thrive in fast-paced environments and feel comfortable with a very high level of responsibility You are a savvy and tactful communicator: you intuitively find the right tone in every situation You desire to foster a culture deeply committed to providing a world class customer service experience You are a detail-oriented executor: you’re obsessively action-oriented and thrive while operating autonomously You are an experienced and exceptional leader: people love working with you and for you and you have extensive experience leading support teams You are flexible and adaptable, you love the challenge of adapting to change rapidly and making things work on the fly You have a proven track record of managing teams (at least 3-5 years) and developing people - you know how to motivate and get the best work out of every person who you work with You are effective at managing multiple tasks simultaneously; you can delegate, prioritize, and take responsibility You are a problem solver; you don’t accept the status quo and are always looking for creative solutions Experience working in transit a plus Successful completion of a drug test, criminal background check, and motor vehicle records check is mandatory for employment. Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable. Base salary range: $110,000-$160,000 / per year + RSU package We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching. Ready to join the ride? Via is an equal opportunity employer.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Senior Data Center Preconstruction & Capacity Delivery Manager at Anthropic, you'll make sure our EMEA deals are ready to execute before we commit to them, and you'll take time out of every program before the lease is signed. Delivery dates and costs on AI infrastructure deals are largely fixed at signature. What is missed before then is hard to recover afterwards, and our leverage over the schedule is at its highest while the deal is still open. About 75% of your time goes to preconstruction and pre-lease management, from first desktop review through Letter of Intent (LOI) to lease execution. You'll test whether each opportunity can be delivered, rigorously accelerate its program, and shape the deal so that what a developer commits to can be held to, verified and delivered. The other 25% goes to delivery. You'll carry that work through mobilization, embed with the partners building leased and partnered capacity, and lead them to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center. Our EMEA pipeline is getting off the ground, so you'll set the standard for how deals become ready for execution here. This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure. Responsibilities - preconstruction and pre-lease management (about 75%): Lead.  This is a role where leadership trumps management and process.  You will be expected to engage developers, contractors, utilities and our transaction teams early enough to shape the outcome of each deal rather than report on it afterwards. Confirm deal readiness and serve as the gatekeeper to validate transaction viability from LOI through lease execution, ensuring all predevelopment, planning, technical and business requirements are met before commitment Give transaction leads an early delivery view from desktop study on capacity, power, permitting, connectivity, schedule and cost, so that the sites moving to LOI are ones that can be delivered Run independent, evidence-based delivery due diligence on each opportunity, tested against source documents rather than relayed claims, covering capacity, power, permitting, connectivity, procurement, schedule, cost, and whether the developer's team, contractors and supply chain can deliver Interrogate every developer schedule from the native file rather than summary dates, testing logic, durations, production rates and critical paths, planning backwards from commissioning, and establishing the unconstrained date before any commercial protection is added Rigorously accelerate programs during the pre-lease phase by making schedule work a priority for the developer while the deal depends on it, pulling forward design, permitting, power, early works and procurement, and sequencing the build around how capacity turns up Assess contractor and supply-chain capacity and long-lead equipment needs for each opportunity, setting a long-lead strategy that secures delivery capacity ahead of need and making the case for early equipment funding where it protects a date Challenge Total Development Cost and delivery schedules against the assumptions behind Yield-on-Cost and IRR, flagging where time-to-power or cost exposure puts the investment case at risk Shape the delivery terms of the LOI, lease and supporting exhibits with transaction and legal teams, including phasing and target dates, landlord scope, diligence cost, ownership and reliance, risk allocation and governance, and check that the developer's contract with its general contractor carries the same milestones and aligns incentives around accelerated delivery Give deal and delivery leadership a clear go/no-go recommendation at each decision point up to signature, with the risks, conditions and mitigations behind it Keep one delivery-readiness record and one risk register across all EMEA opportunities, assigning every risk to an accountable owner, tracking it to resolution, and escalating where cost or schedule is threatened Direct owner's representatives and third-party advisers and assure what they produce, bringing design and engineering, cost, schedule, commercial, contracts and procurement into a single view of risk and readiness Develop and refine the preconstruction playbook, a reference log of unit costs and benchmarks, and the operating model needed to scale the function, using AI tools including Claude for first-pass assessment, document review and benchmarking so your time goes to judgment and negotiation Prepare and present regular executive reporting on readiness and risk for each opportunity and across the portfolio, including time from signature to construction start, risks found before versus after signature, and baseline-to-actual variance, supporting forward capacity planning and strategic decision-making Responsibilities - delivery leadership (about 25%): Document the baseline at signature for design, budget, schedule, long-lead position, open risks and conditions, so delivery starts from an assured position whether you carry the project forward yourself or hand it to a delivery colleague Partner with landlords and developers post-deal to serve as Anthropic's primary point of contact, coordinating across internal stakeholders, tracking construction progress, and facilitating critical information exchange between development partners and Anthropic stakeholders You will be expected to be at one or more project sites in adequate amount to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner. You are expected to be a force multiplier that develops and enhances the skillset that development partners, contractors, and key trades bring to the project(s) you are overseeing.  That means being a subject matter expert in the various cross functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment. Represent Anthropic in key technical and operational decisions required by partners during the development process, ensuring our infrastructure requirements are met while maintaining strong partnerships Drive seamless handoffs to operational state with heavy focus on engagement across networking and deployment teams, enabling rapid workload turn-ups and minimizing time-to-production Identify and mitigate risks throughout the delivery lifecycle, proactively addressing blockers that could impact timeline, cost, or technical requirements, and feed what you learn on site back into diligence and the playbook You may be a good fit if you: Have 8+ years of experience in preconstruction, development, or cost and commercial management on data center or other large mission-critical programs within EMEA, including time leading delivery on site.  You won't have a big direct team to delegate to but will instead be able to treat the entire cross functional organizations around each deal and jobsite as your team. Have a track record of testing developer and contractor claims on cost, schedule, power and permitting against source documents, and of telling a deal team when a date does not hold up. Have taken time out of programs before construction started, and can show how.  You read a native schedule fluently and know which levers in design, permitting, power and procurement move a date. Have shaped delivery terms in development, lease or construction agreements, working with legal teams, and have led tendering and bid analysis.  You understand how cost and schedule flow through to the investment case. Have a strong understanding of the end to end (dirt to delivery) data center development process to include entitlements and permitting, planning and supply chain, execution, commissioning, and handover. You are not an administrator but an active player in the arena comfortable making decisions without the need to consult across multiple external parties. You should understand the nuances of data center design and construction across EMEA markets- who the players are, how power and permitting differ, what contractual norms get in the way of speed of delivery, how teams can be incentivized to build and deliver faster than normal. Have built or scaled a team or function, including directing third-party advisers. In this role you will often be on an island and responsible for your own destiny.  You will have free rein to develop your own approaches with the mission guidance being your only bounds.  No one will be there to empower your efforts, you will create your own influence by building relationships and diving in at all phases to deliver success. You must thrive operating with ambiguity and have a willingness to own outcomes, knowing that the buck stops with you. It's a bonus if you: Understand AI/ML infrastructure requirements, including high-density power and advanced cooling systems Have had preconstruction or leadership positions (Preconstruction Manager, General Superintendent, Project Manager) within a GC, EPC or developer on hyperscale data center projects or in self performance of hyperscale data center development projects. Prioritize extreme ownership and have the ability to create winning cultures across diverse teams and job sites. Are deeply familiar with lease negotiations, construction contracts, or real estate development processes and have strategies to move those arrangements from traditionally transaction and risk managed arrangements to collaborative efforts that align incentives around accelerated delivery of facilities. Have secured long-lead equipment or manufacturing capacity ahead of a signed deal, including through frame agreements or early funding arrangements. Have run quantitative schedule risk analysis, or built parametric cost benchmarks across a portfolio of sites. Speak additional European languages. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £1 — £1 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, Global Workplace: Remote About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for a Product Manager, Administration & Governance to join our Product Team and make Supabase the default starting point for software built inside a company. Supabase already spreads from the bottom up: someone has an idea, creates a project, and builds something useful. Inside most companies, Supabase starts the same way: someone has an idea, creates a project, and builds something useful. The next step is making that momentum company-wide: one platform where anyone can start building, and where IT can see what’s running, who owns it, and what it costs. You’ll own how companies run Supabase as their internal development platform: approved by IT and easy for anyone in the company to use. You’ll make it possible for people and the agents they work with to start building without waiting on infrastructure, while giving platform, IT, and security teams the controls they need to say yes. The goal is to make the approved path the easiest path, from an early experiment to a production application, with the controls companies need built in. WHAT YOU’LL BE RESPONSIBLE FOR - Own the product strategy and roadmap for internal innovation, from a company’s first IT-approved rollout to adoption across teams and business units. - Make getting started self-service, whether someone creates a project in Supabase, through an internal developer portal, or with an agent. Give builders the access and infrastructure they need without a ticket for every project. - Steer scattered usage into a manageable company-wide platform. Give companies one view of everything they run on Supabase. Shape how ownership, delegated access, and boundaries work so teams can move independently as usage grows. - Partner closely with platform, IT, security, and finance teams to understand what it takes to approve Supabase and keep it approved. Translate their needs into practical identity, policy, audit, and spend controls that don’t slow builders down. - Define the path from experiment to production, including project ownership, access, and the guardrails that change as an application becomes important to the business. - Work with Engineering, Design, Sales, and Customer Success to turn early customer rollouts into a repeatable experience, rather than a new custom integration for every company. - Define what success looks like, instrument it end to end, and let the data guide what gets built next—from time to first project and self-service adoption to production usage and expansion across the company. YOU MIGHT BE A GOOD FIT IF YOU - Have 7+ years of product management on developer tools, infrastructure, or internal developer platforms. - Have built self-service products that developers love and platform or IT teams trust. You understand both the person trying to ship an app and the team responsible for how it runs. - Can reason about identity, permissions, organization boundaries, and usage attribution, and turn those systems into workflows people can actually understand. - Have a strong point of view on how agents change who can build software inside a company and what an internal development platform needs to make that possible. - Know your way around controlled experimentation and data analysis, and can connect easier adoption to sustained product use. - Are biased toward speed and would rather ship, learn, and iterate than perfect a spec. - Build with what you own and form opinions through first-hand use, from creating a project to configuring the policies around it. - Use AI tools to compress research, drafting, and feedback synthesis so you can focus on judgment calls. - Work async by default, making decisions in writing in a fully remote team. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: San Francisco; New York City ABOUT THE ROLE The AI Acceleration team’s mission is to make Perplexity the best place to build and ship software with AI agents. We build the infrastructure that engineers and agents rely on, and develop new ways for agents to write, test, review, and ship code. Our work helps teams move from an idea to production faster, without compromising quality or reliability. We own the end-to-end development experience at Perplexity, from the environment where code is written to the systems that ship it to production. That includes local and cloud coding environments, build and test infrastructure, code review, and release management. We’re also building autonomous software development systems, where agents take on increasingly complex engineering work with explicit evaluation, verification, and safety controls. We own both the infrastructure these systems depend on and the workflows that make them useful. As an AI Acceleration Engineer, you’ll turn emerging agent capabilities into dependable systems used across Perplexity. You’ll work directly with engineers to understand where development slows down, experiment with new approaches, and take promising ideas through to production. This role combines systems engineering, developer experience, and hands-on agent development, with a direct measure of success: helping teams spend less time on delivery overhead and more time building products. RESPONSIBILITIES - Identify, prioritize, and deliver the highest-impact opportunities to accelerate how Perplexity builds and ships software with AI. - Work directly with engineering and business teams to understand their workflows, constraints, and bottlenecks, and build solutions that address how they actually work. - Build and operate the infrastructure that engineers and agents depend on, including development environments, build and test systems, code review, and release tooling. - Make our codebases, systems, and internal knowledge easier for agents to navigate, understand, and use through better tooling, interfaces, documentation, and context. - Take agent-driven workflows from prototype to production, building the evaluations, verification, and controls needed to delegate increasingly complex engineering work safely. - Improve delivery speed and software quality together. Measure the impact of your work on development time, review effort, and production reliability, and use those results to guide what comes next. - Evaluate emerging models, tools, and approaches through hands-on experimentation. Turn the evidence into clear technical decisions, and drive adoption of the technologies that prove useful. - Use AI extensively in your own engineering work, share what works, and help colleagues adopt effective practices. Partner with engineering leadership and recruiting to strengthen how we hire and develop engineers who work effectively with AI. QUALIFICATIONS - 5+ years of software engineering experience, ideally with substantial work in infrastructure, platform engineering, or developer productivity in technically complex environments. - Daily, hands-on use of AI models and coding tools, with practical judgment about where they perform well, where they fail, and how to verify their output. - Strong proficiency in one of the languages – Python, Go or Rust, along with the willingness to learn other languages as the work requires. - Broad familiarity with the systems used by AI product and applied research teams, including cloud infrastructure, distributed systems, data pipelines, and ML tooling. You don’t need deep expertise in every layer, but you should understand how they fit together. - An ability to understand how engineers and researchers across disciplines work, paired with curiosity about the needs of business and operations teams. You build tools around users’ actual workflows and constraints. - A drive to make codebases, systems, and processes easier to understand, operate, and change. You look for ways to replace brittle workflows and implicit knowledge with clear interfaces and reliable automation. - Sound technical judgment about when to experiment, when to commit, and when to ship a pragmatic solution. You can balance immediate delivery with investments that make future work faster and more reliable.

Location: United States Senior Engineering Manager, Data & AI Lead the engineering team behind Foundry, Insights, Intel, and Voice: the agents, analytics, and data intelligence of the modern freight platform. About the Role Remote, United States. Some travel is required for team onsites, customer visits, and industry events. Relocation assistance is not provided. The Senior Engineering Manager, Data & AI leads the engineering group behind Foundry, Insights, Intel, and Voice. You'll own the group's technical strategy, delivery, and quality, hire and develop its engineers, and stay hands-on by prototyping, writing evals, reading traces, and reviewing architecture in depth. The team is about eight engineers today and growing. It also owns the shared foundation those products run on: a context graph that connects loads, trips, carriers, drivers, customers, documents, and conversations; event-sourced platform data streaming into the warehouse; and the evals, tracing, guardrails, and model routing every agent depends on. Alvys facilitates more than $1 billion in funds every month across invoices, carrier payments, and driver settlements. Behind that volume is one of the richest operational datasets in freight. This team turns it into agents that do real work and intelligence customers can't get anywhere else. Engineering leaders at Alvys are builders. Expect to spend about a third of your time building. You'll set the standard for how an AI-first team works: coding agents in the daily workflow, evals before scale, and production evidence over demos. The platform runs on .NET (C#, and increasingly F#), TypeScript, and Python on Azure and AKS, with Cosmos DB, Postgres, Elasticsearch, Snowflake, dbt, and Fivetran underneath. We're looking for someone who treats AI as a first-class material, both in what we build for customers and in how the engineering team works. Industry Insight Freight runs on phone calls, emails, PDFs, and tribal knowledge. The U.S. trucking industry is worth approximately $1 trillion today and is projected to grow by roughly 60% to nearly $1.5 trillion over the next decade. Yet the work that moves that freight is still largely manual. Nearly 580,000 active U.S. motor carriers operate in a highly fragmented market; 91.5% run 10 or fewer trucks, and 99.3% run 100 or fewer. Few of these businesses will ever build a data team of their own. Every check call answered, rate confirmation read, and exception caught by software is time back for a small team running on thin margins. Freight data is also structurally messy. A single load spans brokers, carriers, drivers, shippers, and documents, each with its own identifiers, and the truth lives across EDI messages, phone calls, and free text. Generic AI tooling doesn't model any of this. That's why we're building a context graph grounded in how freight actually moves. Agents can now answer the phone, read documents, query operational data, and take actions inside a TMS. In freight, those actions move trucks and money. They must be correct, auditable, and safe. About Alvys Alvys is building the operating system for modern freight. Our AI-powered, cloud-native platform brings dispatch, driver mobile, safety and compliance, billing and settlements, native EDI, reporting, integrations, and automation into one product. We were founded in 2020 by freight industry insiders who were tired of software built by people who had never moved a load. That combination of deep customer empathy and ambitious technology still defines us. We visit customers, learn how the work actually happens, prototype quickly, debate ideas openly, and turn the best ones into products people rely on. More than 3,000 trucking and brokerage companies use Alvys today, including larger fleets with increasingly sophisticated operations. We've raised $77M to date, including a $40M Series B. That gives us real momentum and room to make bold bets, while remaining early enough that a great engineering leader can materially shape the product, team, and company. We are building more than a modern interface for a traditional TMS. Foundry, our agent platform within Alvys, helps freight teams make decisions and complete work, and this team builds it. You'll work with curious, direct, low-ego people who solve hard problems, move quickly from prototype to production, and measure customer impact. Our Principles AI makes building cheap. It does not make judgment cheap. The constraint has moved from writing code to deciding what to build and proving it is right. Agents belong in the middle of the pipeline. People remain accountable at both ends. These principles turn that into how we work every day. Own the outcome You own what you ship. "AI wrote it" is not an answer. Judgment stays human. People decide what matters and whether the result is correct. Verify independently Generation and verification are separate. Tests, review, and approval run independently of the agent that did the work. Autonomy is earned per workflow. Agents advance only on measured precision against human-verified outcomes. No number, no promotion. Design for control AI-first means security-first. Customer data stays on approved infrastructure under managed identity. Cost is an engineering constraint. Every shared workflow has termination conditions and bounded fan-out. Build durable systems Knowledge is tool-agnostic. Reviewed intent lives once; vendor-specific machinery is generated from it. Multiple vendors are a design assumption. Durable workflows don't couple to one model or harness. Twice is a pattern. Automate repeated work and share it within 48 hours. The Data & AI Portfolio The Data & AI portfolio covers Foundry, our embedded automation and agent platform, including a unified agent chat that answers questions and takes actions; Insights, conversational analytics grounded in each customer's own operating data; Intel, proprietary data intelligence drawn from third-party, licensed, and proprietary data sources; and Voice, AI voice and chat agents for load status, driver check calls, and the follow-ups in between. It also includes the shared foundation: the context graph, the data platform that feeds it, and the evals, tracing, guardrails, and model routing behind every agent. Why This Role Few engineering leadership roles combine frontier AI work, a proprietary dataset, and an industry this underserved. This one does. You build at the frontier, in production. Context graphs, self-learning agents, voice agents, and agentic automation are still being figured out across the industry. Here you ship them to real customers, on live freight operations, not benchmarks. You work with data no one else has. More than 3,000 trucking and brokerage companies run on Alvys, and more than $1 billion in funds moves through the platform every month. Combined with third-party and licensed sources, that data is the raw material for intelligence no single fleet or brokerage could build alone. Your work changes how an industry operates. With 91.5% of carriers running 10 or fewer trucks, most of our customers will never hire a data team. The agents you build give a small business the leverage of a much larger one. You own a portfolio, not a feature. Four products share one platform. You set its architecture, choose its models and vendors, and decide where the team invests as it grows. You shape the team from the start. The group is about eight engineers today. You'll hire the next wave and set the standard for how an AI-first engineering team works at Alvys. You stay close to the decisions. You report to the Head of Engineering, work directly with customers and our Forward Deployed Engineering team, and have a direct line into company planning, backed by a $40M Series B. What You'll Be Responsible For Leading and Growing the Team Manage, coach, and develop a team of about eight engineers, including senior engineers and tech leads, and grow it as the portfolio expands. Hire senior and staff engineers, and keep the quality bar high as the team scales. Run the team AI-first, with coding agents in the daily workflow and clear standards for how AI-written code is reviewed, tested, and shipped. Owning Technical Strategy Set technical direction for agents, data, and the context graph, and make the build, buy, and model calls with cost, quality, and speed in view. Make tradeoffs across four products that share one platform, including what gets built, what gets cut, and where the team invests. Building Agents That Learn Own the agent development lifecycle from prototype to production to continuous improvement. Build self-learning loops so agents improve from outcomes, user corrections, and transcripts, and make that improvement measurable. Make evals a release gate. No agent ships without tests for quality, safety, latency, and cost. Data and the Context Graph Own the context graph that links loads, trips, carriers, drivers, customers, documents, and conversations, and the entity resolution that keeps it trustworthy. Partner on the data platform that feeds it, including event streams, CDC into Snowflake, data quality, and lineage, so agents and analytics share one source of truth. Capture decision traces (the inputs gathered, the rule applied, any exception, who approved it, and why) so precedent becomes searchable for agents and people, while rules stay explicit. Combine third-party, licensed, and proprietary data sources into intelligence customers can act on, with the provenance, licensing terms, and tenant boundaries of each source respected. Safety, Isolation, and Reliability Design agents that change data with scoped permissions, human approvals, and audit trails, and defend against prompt injection and tool misuse. Enforce tenant isolation and least privilege across every agent, tool, and data path. Own reliability and unit economics. Track cost per task, per call, and per tenant, and keep margins healthy as usage grows. Staying Hands-On Spend about a third of your time building: prototype, write evals, read traces, and debug production. Review your team's designs and code with real depth, and stay current on models and tools, separating what works in production from what demos well. Cross-Functional Partnership Work as a peer to product and design leadership on direction, architecture, sequencing, and delivery. Work directly with customers and our Forward Deployed Engineering team, and turn repeated patterns into platform features. The AI Fluency We Expect We measure AI fluency by how you verify, not by how much you use AI. More autonomy is not always better. You match the level of autonomy to the risk of the work, and you hold yourself and the team to the same five competencies. Delegation: You decide whether to use AI at all, which task to hand off, and how much autonomy it gets. Description: You state goals, requirements, and limits clearly, from a single prompt up to project instructions, specs, and policy. Discernment: You check output against evidence: diffs, acceptance checks, evals, and production monitoring. Diligence: You own the effects, including data access, permissions, memory isolation, budgets, and kill switches. Systems: You know how models, context, tools, harnesses, and memory work, and where each one fails. How You Work With Agents Design multi-agent systems on paper before you build them. For each step, choose a rule, a small model, a frontier model, or a person, and measure cost per outcome, not cost per token. Start from code-orchestrated workflows and add model-led autonomy only where the task needs exploration. Keep agent-to-agent handoffs few, and give each agent a contract: inputs, allowed tools, and output schema. Put limits in code, not in prompts: hooks, sandboxed worktrees, and a stop condition, retry cap, and budget on every loop. Separate the agent that writes from the agent that checks, and give the checker fresh context. Work in an explore, plan, execute, verify, and compound rhythm, where every correction becomes a rule, skill, hook, or test. Move fluently across Claude Code, Codex, and Cursor, and choose an editor-first or agent-first surface based on who should hold the controls for the next step. Where You Take the Team Bring every engineer to running goal-based loops, where specs and checks are written first, never weakened to pass, and run by the agent itself. Move the team from steering every turn to designing the system that steers the agent: its context, its harness, and its loop. Build toward agents that run continuously in hosted sandboxes, each with its own least-privilege identity, a named owner, a budget, and a tested kill switch, with risk-scaled human review on financial actions, auth, settlements, and customer data. Close the improvement loop. Capture traces, run error analysis on real failures every week, encode the fixes, and gate every change to rules, memory, or evals behind evals and a human approver. Self-improving never means self-approving. Minimum Qualifications 8+ years building software, including 3+ years managing engineers. You've grown senior engineers and tech leads and remain a hands-on builder who can prototype, debug production, and review code credibly. Production LLM systems. You've shipped LLM-powered products to real users, not demos, and can explain what broke, what you measured, and what you changed. Agentic engineering in your own work. You build with coding agents every day and can show the multi-agent workflows, contracts, hooks, and loops you put into production, and the checks that kept them honest. Depth in agent systems. You've built with tool use, function calling, MCP, orchestration, memory, and retrieval, and you understand where agents fail. Evaluation discipline. You've built eval systems that combine offline suites, online metrics, human review, and transcript analysis, and used them to gate releases. Strong data engineering judgment. You've worked with event streams, CDC, cloud warehouses, dbt, and data quality, and you know how the shape of the data limits what models can do. Distributed systems in production. You've designed and operated production services with real reliability requirements. Multi-tenant security. You've secured multi-tenant SaaS and isolated customer data, and you treat agent permissions as a security boundary. Language fluency. You write Python or TypeScript fluently and are comfortable reading C#, F#, and .NET. Experience with F# or another functional language is a plus. Startup-stage fit. You've operated at Series B/C velocity amid ambiguity, thin support, competing priorities, and a bias toward shipping and learning. Clear technical communication. You can explain a tradeoff to an engineer, a customer, and an executive. Preferred Qualifications Knowledge graphs, context graphs, entity resolution, or GraphRAG in production. Real-time voice agents, including telephony, speech-to-text, text-to-speech, turn-taking, and latency budgets. Fine-tuning, reinforcement learning from feedback, or prompt optimization against eval sets. Embedded automation or workflow platforms such as Activepieces, n8n, or Temporal. SRE experience, or a record of running systems other teams depend on. Logistics or freight experience, or another vertical where data is deeply entangled with operations. Founder or early-stage engineering leadership experience. A history of hiring, growing, and retaining excellent engineers. Built by people who've moved freight. Come build the intelligence layer with us. Learn more at alvys.com

Location: London & San Francisco Workplace: onsite Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY The OpenAI/Hugging Face incident may be the biggest warning shot we get before catastrophic loss-of-control. In its aftermath, Anthropic and OpenAI publicly committed to giving embedded evaluators an unprecedented level of access. Embedded evaluations are the best existing method to find out whether alignment is on track. With OpenAI predicting an automated researcher by March 2028, we don't have time to start with an MVP embedded evaluation and iteratively improve it. The first embedded evaluations will set the standard and we have to get it right.  Apollo has taken steps toward becoming an embedded evaluator at frontier labs. We want to hire experienced senior researchers with a strong track record of getting things done to execute our embeddedevaluationplans. KEY RESPONSIBILITIES If embedded evaluations happen, you will be on one of the following teams: On-site embedded evaluators: This team will spend weeks or months embedded at a frontier AI lab, where they will conduct interviews, review the lab’s evidence, gather new evidence, and write a report. They will execute a playbook quickly and adapt to unforeseen circumstances. We hold our embedded evaluators to the highest standards, so you will likely have to first prove yourself within Apollo before being sent into an embedded campaign. That is, you will probably start on the applied research team to gain context on embedded evaluations. For this team, we prefer candidates with the right to work in the US who can be based in San Francisco. Applied researchers: This team will be the force-multiplier behind embedded evaluations. They will prepare on-site evaluators before they are embedded and support them while they are embedded. They will do the conceptual work to determine what evidence would support a safety case, and write the playbook for on-site evaluators to optimize how fast they can gather evidence. They will develop tooling for embedded evaluators, both ahead-of-time and urgently on demand. They will be the bridge connecting fundamental research and the on-site evaluators. For example, they might convert the methodology of “Measuring Reward-Seeking via Contrastive Belief Updates” into turnkey code and procedures. This team can work from any of our offices. Both are high-stakes teams. On-site embedded evaluators should be exceptionally strong at quick execution under high pressure, and very strong at planning and research. Applied researchers should be exceptionally strong at planning and research, and very strong at quick execution under high pressure. For both teams, we are excited for experienced candidates who have owned ambitious projects end-to-end under tight deadlines. KEY REQUIREMENTS We don’t require a formal background or industry experience and welcome self-taught candidates. We assess demonstrated ability, including through independent research and nontraditional paths; prior formal management titles are not required. Technical safety research judgment: You have a strong track record of producing or leading technically rigorous research relevant to understanding and reducing risks from advanced AI. Your background might include alignment, interpretability, model evaluations, control, adversarial ML, or post-training. You understand modern model training well enough to interrogate a lab’s methods and learn unfamiliar pipelines quickly. Deep experience with frontier RL or post-training is valuable but not required. Research leadership and delivery: You have led ambitious technical projects end-to-end under hard deadlines and managed or closely supervised strong individual contributors (ICs). You can set research priorities, delegate meaningful ownership, review technical work, and keep a team focused on the questions that matter most. Data Analysis & Pattern Recognition: You can extract signal from large, messy datasets. You're comfortable with quantitative analysis and know when qualitative assessment is more appropriate. You can identify anomalies and unexpected model behaviors. Writing for high-stakes audiences: You have experience writing about qualitative and quantitative findings for different stakeholders. You can take a pile of unorganized technical information and communicate it effectively to lab safety teams, lab leadership, governments, or the public. Strong understanding of scheming: You have a strong conceptual understanding of ideas like metagaming, evaluation awareness, deception, and reward-seeking. You are familiar with classic literature like Is Power-Seeking AI an Existential Risk? and modern research. AI power-user: You’re capable of using AI to accelerate your work, technical or otherwise. You have experience using different models, know which ones to use for which tasks, when not to use AI, and always experiment with new AI workflows. Professionalism: You can represent Apollo independently in sustained, high-stakes technical collaborations.  Your professional conduct is unimpeachable. You know when to tactfully resolve disagreements with partners and when to stand firm in negotiations, and you are excellent at both of those. Mission commitment: Apollo estimates that RSI will happen soon, and we are extremely concerned that AGI will catastrophically not be aligned with human values. Hence we have an “intense, but in a good way” culture . We will ask a lot from you, but in return you will personally have a large impact on loss-of-control risk. NICE TO HAVES Software engineering skills: Strong software engineering skills correlate highly with effective execution, even in an era of AI agents. Our entire stack uses Python. Prior embedded expertise: You have previous experience in professional services like auditing or consulting. You’ve learned lessons from working on-site with clients that will generalize to working with frontier AI labs. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. BENEFITS This role offers a market-competitive salary, equity, and competitive benefits. Depending on your experience, you may be offered a Lead or individual contributor position. Salary: Recognised experts who can lead projects of significant scope: USD 350,000 - USD 590,000 or £230,000 - £395,000 Strong individual contributors: USD 245,000 - USD 405,000 or £160,000 - £270,000 Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable). We are able to sponsor visas to the UK and US. LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We prefer on-site embedded evaluators to be permanently located in San Francisco. Applied researchers can work from any of our offices. We offer flexible working hours and WFH arrangements. Remote candidates will only be considered if they are exceptional and can travel at least 1 week/month to either office. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we’re primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We’re particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g., building evaluations and novel evaluation techniques), the science of scheming (e.g., model organisms and the study of scaling trends), and scheming mitigations (e.g., control). We closely work with multiple frontier AI companies, e.g. to test their models before deployment and collaborate on fundamental research. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you’re interested in more details about what it’s like working at Apollo, you can find more information here. ABOUT THE TEAM Alex Meinke leads the science of scheming team’s research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the science of scheming team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations. You can find our full team here. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.  How to apply: Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no LeetCode-style general coding interviews. If you want to prepare for the interviews, we suggest (a) thinking about what embedded evaluators should investigate, (b) building a tool that would be useful for embedded evaluators and running it on suitable proxy data, and/or (c) writing a report based on mock findings.  Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. We adopt a human-centred approach: all resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: London, England, United Kingdom Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. Responsibilities MLRO Deputisation and Governance Act as alternate nominated officer, deciding on SARs and DAML requests when the MLRO is unavailable, under documented delegated authority. Attend the Audit, Risk and Compliance Committee and the Group Financial Crime Committee in the MLRO's absence. Maintain a complete, contemporaneous audit trail of all decisions taken under deputised authority, distinct from decisions taken by the MLRO. Maintain deputisation readiness: current knowledge of the MLRO's live case load, open regulator correspondence and outstanding remediation, so cover can be provided at short notice. Suspicious Activity Reporting and Sanctions Oversee escalations from transaction monitoring and name screening (PEP, sanctions, adverse media), setting investigation quality and disposition standards. Oversee sanctions screening escalations and prepare OFSI reports for MLRO sign off. Financial Crime Framework Maintain the Business Wide Risk Assessment (BWRA), proliferation financing risk assessment, AML, CTF and CPF policies and the customer risk assessment methodology, and propose changes to the MLRO for approval. Escalate material gaps or emerging typologies to the MLRO. Lead root cause analysis on control failures or thematic issues and track remediation actions to closure. Regulatory Reporting and Regulator Engagement Prepare financial crime MI for senior management and governance committees, and draft sections of the annual MLRO Report. Support responses to FCA information requests and assist with skilled person reviews (s.166 FSMA 2000) or supervisory visits as directed by the MLRO. Track the AML control framework against FCA Handbook updates, JMLSG guidance revisions and OFSI and HMT sanctions notices. Team Leadership and Succession Line manage members of the UK Financial Crime team, setting quality standards, coaching and development plans. Act as the escalation point for complex or ambiguous cases referred by Level 1 and Level 2 analysts and more junior members of the UK Financial Crime team. Build the knowledge and judgement needed to step up to SMF1 Requirements Deep working knowledge of UK AML and CTF regulation: MLR 2017, POCA 2002, TA 2000, FCA SYSC 6.3 and JMLSG Guidance. Sound judgement under pressure. Comfortable taking disposition decisions on live SARs without the MLRO present. Strong report writing and Board level communication skills. People leadership experience, or clearly demonstrated readiness to lead a team. Ability to manage regulator facing deliverables to deadline. 5+ years in AML and financial crime compliance within a regulated firm (CFD or brokerage, banking, payments or crypto), or equivalent regulatory exposure, including direct SAR investigation and disposition experience. Prior deputy or MLRO experience is preferred but not required. Experience preparing MI for Boards or Risk Committees. Familiarity with CFDs, spread betting and margin trading behaviours. Awareness of how FCA Consumer Duty intersects with financial crime risk (for example, vulnerable customer considerations in AML decisioning). Nice to Have ICA Diploma or Advanced Certificate in AML, ACAMS or equivalent. Direct exposure to FCA supervisory engagement Existing line management experience. What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Manager, Data Science, Payments & Subscriptions San Diego, CA remote considered* (flex mode) About the Team The Direct to Consumer (D2C) Data Science organization brings together Data Science, Data Engineering, and ML Engineering to support PlayStation’s digital business across commerce, subscriptions, payments, lifecycle experiences, and player-facing services. We partner closely with product, engineering, finance, marketing, and operations teams to turn experimentation, forecasting, modeling, and trustworthy measurement into better decisions and better player experiences. About the Role We are looking for a Data Science Manager to lead a focused team improving how players pay, subscribe, and recover from payment failures. You will own the team’s scientific roadmap, develop data scientists, and partner with product, engineering, finance, marketing, and operations to turn ambiguous business questions into clear recommendations supported by trustworthy evidence. This is a technically engaged first-line management role. You will review experiment designs, metrics, models, analytical code, and recommendations; help the team reason through uncertainty and business tradeoffs; and contribute directly to selected complex problems. Success means building a team that can independently deliver rigorous work, guide decisions, and improve payment and subscription outcomes. The initial portfolio includes payment method performance, payment acceptance, routing and retry strategies, subscription recovery, and measurement of experiments and lifecycle interventions. You will help partners understand incremental value, customer friction, processing and operational costs, and risk guardrails. Over time, the scope may expand across adjacent D2C business areas as team priorities evolve. What you'll be doing: Lead, hire, onboard, and develop a team of data scientists supporting a defined commerce, payments, subscriptions, and lifecycle portfolio. Own the team’s roadmap, intake, prioritization, capacity planning, and stakeholder alignment. Make ownership and tradeoffs clear so the team can deliver on its most important commitments. Partner with business and technical leaders to define the decisions to be made, hypotheses, success metrics, measurement plans, and recommendations for action. Guide experimentation, causal inference, forecasting, and modeling work that improves payment and subscription decisions. Evaluate business value alongside customer experience, costs, and risk guardrails. Review experiment designs, analytical code, data quality, metric definitions, model assumptions, uncertainty, and recommendations. Contribute directly to selected high-priority or technically complex problems. Coach data scientists to strengthen scientific judgment, stakeholder influence, and communication. Build independent ownership through delegation, constructive review, and clear expectations. Set practical standards for reproducible analysis, documentation, reusable workflows, and communication of results. Partner with Data Engineering and ML Engineering to address data and implementation dependencies. Communicate recommendations, expected impact, confidence, limitations, and next actions so partners can make informed decisions and evaluate outcomes. What we're looking for: 6+ years of industry experience in data science, applied statistics, machine learning, or a related quantitative field, including work in experimentation, causal inference, measurement, or model development. 2+ years of people management experience, or equivalent experience in formal technical leadership with a strong track record of mentoring, coaching, and driving outcomes through other data scientists or machine learning practitioners. Strong background in experimentation, causal inference, metric design, and decision science for digital products or consumer businesses. Deep fluency with SQL and Python, with the technical depth to review analytical code, challenge assumptions, guide experiment and model design, and contribute directly to complex analyses. Proven ability to prioritize cross-functional work and communicate clear recommendations, confidence levels, tradeoffs, and next actions. Bachelor's degree or equivalent Preferred Qualifications Experience in digital commerce, payments, subscriptions, billing, lifecycle, gaming, media, or scaled consumer technology businesses. Experience with experimentation platforms, trusted metric frameworks, or reusable data science tooling that improves consistency and decision quality. Experience managing senior individual contributors or helping data scientists expand scope, influence, and technical leadership. Familiarity with payment optimization, subscription lifecycle analytics, subscription recovery, payment method selection, pricing or offer measurement, forecasting, or customer retention modeling. Experience evaluating and improving AI-assisted analytical workflows, including validating outputs and preserving reproducibility and appropriate data handling. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $186,200 — $279,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: New York, NY Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: Galaxy Digital Inc. (Nasdaq: GLXY) is seeking a Social Media Lead to manage and advance its social media presence across corporate, business, and executive channels. Reporting to the Head of Investor Relations and working closely with Marketing & Communications, this individual will drive day-to-day execution of Galaxy’s corporate social media strategy, contribute to editorial planning and publishing, and help strengthen the firm’s presence across key platforms. The role will reinforce Galaxy’s corporate narrative, bring its businesses and perspectives to life, and support communications with investors, clients, employees, and broader audiences. The role will also support firmwide internal communications by building, maintaining, and disseminating information through Galaxy’s intranet, helping employees stay informed and connected to the firm’s priorities. Especially important is that X is home to an active community of retail shareholders and clients, whose conversations are followed by a broad range of market participants, including institutional investors. This role will help Galaxy maintain a credible, informed, and consistent presence on the platform while supporting the firm’s broader communications priorities. We are looking for a digitally fluent, exceptional writer with strong business instincts and a track record of delivering high-quality work in a fast-moving, high-expectation environment. The ideal candidate combines strategic judgment with hands-on execution, can translate complex topics into accessible content, and takes ownership of the details, workflows, and relationships required to execute consistently well. What You’ll Do: Drive execution of Galaxy’s corporate social media strategy across corporate, business, and executive channels, with particular emphasis on X and LinkedIn, in close partnership with Investor Relations and Marketing & Communications. Support editorial planning and the coordinated corporate social media calendar, and manage publishing, monitoring, approval workflows, and day-to-day operations across Galaxy’s corporate social media channels, coordinating with relevant business teams and Marketing & Communications. Contribute to the development of clear, timely, platform-native content on Galaxy’s businesses, strategic priorities, market insights, research, corporate news, events, and people, including drafting, editing, and coordinating contributions from relevant teams. Monitor relevant conversations, audience sentiment, and emerging themes across social platforms, and identify opportunities to provide useful context, clarify the firm’s positioning, and support timely, thoughtful communications. Identify and promptly escalate shareholder-related, reputational, and other sensitive social media issues to Investor Relations and Marketing & Communications, as appropriate. Partner with Investor Relations on shareholder-facing messaging, earnings-related social content, key milestones, and consistent articulation of Galaxy’s investment thesis, while coordinating closely with Marketing & Communications on the broader brand and editorial strategy. Work with business leaders and subject matter experts to translate developments across digital assets, trading, asset management, digital infrastructure, and AI data centers into engaging, understandable communications. Support executive social media strategy and execution in partnership with Investor Relations and Marketing & Communications, including editorial planning, drafting, editing, publishing coordination, approvals, and identifying timely opportunities for engagement. Coordinate content review and approval with Investor Relations, Legal & Compliance, and relevant business stakeholders, ensuring required approvals and applicable regulatory and internal policy requirements are met before publication. Investor Relations retains final editorial approval for corporate social content, subject to established delegation and applicable Legal & Compliance requirements. Partner with internal and external creative teams on high-quality graphics, video, and multimedia content; provide clear editorial and creative direction. Plan and optimize organic and paid social initiatives, monitor performance and audience insights, and turn analytics into actionable recommendations. Build and maintain the firmwide intranet as a central hub for internal news, business updates, resources, and announcements; coordinate with stakeholders to keep information accurate, current, accessible, and effectively distributed to employees. Strengthen governance, reporting, and workflows to ensure consistent brand voice, responsive execution, and high standards across channels and teams. Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes. Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work. What We’re Looking For: 5+ years of experience in social media, digital communications, corporate communications, or related roles, preferably within investment banking, alternative asset management, financial services, technology, digital assets, or another fast-paced, high-performance organization; public company experience preferred. Proven ownership of brand or executive social channels, with strong knowledge of X and LinkedIn and an understanding of how audiences and content expectations differ across platforms. Exceptional writing and editing skills, editorial judgment, and ability to simplify complex business and market topics without sacrificing accuracy. Strong interest in financial markets, investing, technology, digital assets, and AI and data center infrastructure; prior digital asset experience is a plus, not a requirement. Understanding of diverse social media audiences, including retail shareholders, clients, and other external stakeholders, and the ability to tailor communications appropriately. Excellent organization, attention to detail, discretion, and ability to manage multiple priorities and tight deadlines while collaborating effectively with colleagues. Ability to earn the confidence of senior executives and collaborate effectively with Investor Relations, Marketing & Communications, business teams, Legal, and Compliance. Analytical and solutions-oriented, with experience using social metrics and audience insights to improve effectiveness. Experience managing intranet content, internal communications channels, or content management systems is a plus. Experience working with creative partners; familiarity with paid social, analytics platforms, and AI-enabled marketing tools preferred. What We Offer: Competitive base salary and discretionary bonus Hybrid/Flexible Working Arrangements Flexible Time Off (paid) 3% 401(k) company contribution Company-paid health and protective benefits for employees, partners, and other dependents Generous paid Parental Leave Competitive family planning benefits for US employees Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Free daily snacks and weekly breakfasts/lunches Employee Resource Groups Free coaching and counseling sessions through Headspace Apply now and join us as we grow the economy that runs on code. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $120,000 — $150,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Australia What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Senior Manager, Security Operations Center Location: Remote Australia Compensation Range: $170,000 to $210,000 AUD base plus bonus and equity Schedule: Standard business week (Monday to Friday) with flexible coverage across 6:00 AM – 4:00 PM AWST Weekend Flexibility: Capability to provide occasional, ad-hoc support on weekends as required by business needs What You’ll Do: The Huntress Security Operations Center is a global team of security analysts dedicated to investigating and responding to incidents on our partners’ networks 24/7, 365 days a year. Daily activities consist of providing investigation, containment, and response actions across millions of endpoints. This role is accountable for defining and streamlining processes, workflows, and playbooks that enable effective day-to-day operations. As Huntress continues to grow, we are laser-focused on scaling our operations and force-multiplying our human analysts by 10X. This position is responsible for enabling analysts to meet our mission and achieve internal Service Level Objectives for response times. The Security Operations Manager will work with their peer regional managers to ensure consistent global operations while providing our analyst team with training opportunities and career growth. Responsibilities: Design, implement, and enforce internal processes to reduce burnout and increase the productivity of the operations center against a global set of expectations and standards Manage and enforce local/global shift coverage to ensure 24/7 operations are maintained 365 days a year Meet with analysts in a 1:1 setting weekly to socialize focus initiatives, gather feedback, provide feedback, and enable analysts to progress rapidly in their career Contribute to the development and implementation of analyst training programs designed to streamline onboarding and advance analyst skill sets in Digital Forensics, Incident Response, Malware Analysis, Detection Engineering, Threat Hunting, and Automation Work with the Product organizations to prioritize the creation of new capabilities designed to augment and force multiple analyst capabilities Maintain accountability for routine quality assurance for your designated region Engage with our Support organization to create streamlined workflows for partner/customer requests that need Security Operations Center analysis Strengthen and mature our existing processes and relationships with our Tactical Response, Threat Hunting, and Detection Engineering teams within the Security organization Provide one level of technical leadership for analysts of the Security Operations Center analysts Ensure team members fully understand the goals and objectives of Huntress’ mission and how their work fits into the bigger picture Provide key input and guidance to company stakeholders such as Marketing, Sales, Support, and Product Develop, track, and report on Objectives and Key Results linked to Security Operations Center focus initiatives Help operationalize new technologies and services that Huntress brings to market Participate in public speaking engagements in both webinar and in-person formats What You Bring To The Team: Experience in leading diverse cybersecurity teams with various skills. These teams work in Security Operations, Digital Forensics, Incident Response, Malware Analysis, Threat Hunting, and Detection Engineering 5+ years of Security Analyst experience working in a global 24x7 security operations center with a focus on Windows forensics 2+ year of team lead or managerial experience in a global operations center or Incident Response role. Preferably within a MSSP, MDR provider, or Incident Response service. Actively engaged in the information security community by attending conferences or contributing to conversations/projects in the public domain Continually learning and staying up to date on the latest threat actor tradecraft, detection techniques, and security operations concepts Ability to identify workflows being performed and create detailed process diagrams and operating procedures Effective communicator of highly technical concepts to stakeholders of varying technical backgrounds Demonstrated experience leading initiatives or projects that required delegation and accountability to achieve success Data-driven approach with experience in Data Science concepts What We Offer: Fully remote work At least one annual trip to the US for Summer Summit, with additional local events in Australia! New starter home office set up reimbursement ($800 AUD) 12 weeks paid parental leave for both primary and secondary carers Monthly digital allowance for personal phone and internet costs ($185 AUD) Monthly home office tech stipend to upgrade or replace equipment ($40 AUD) Subsidised private health insurance through our preferred provider Stock options for all full-time employees Access to the BetterUp platform for coaching, personal, and professional growth People from all culturally diverse backgrounds, including Aboriginal & Torres Strait Islander Peoples, are encouraged to apply. Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote